https://video.ut0pia.org/videos/watch/25e076f9-52fb-48b3-8b6d-d2ecf5c15e54 Enterprise teams spend a lot of time trying to guess what AI agents need to know. This workshop flips that around. Instead of curating context top-down, Raj Navakoti shows how to build a demand-driven context base by giving agents real problems, watching where they fail, and using those failures to reveal exactly what knowledge is missing. Using practical exercises and real examples from IKEA Digital, the session walks through how to grow a knowledge base problem by problem, structure it in Markdown, and use agents with different roles and reasoning boundaries against the same shared context. If you're building enterprise AI systems and want a more grounded way to create useful context, this is a strong practical framework. Speaker info: https://www.linkedin.com/in/raj-navakoti-529880b1/ Wed, 06 May 2026 13:42:25 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/25e076f9-52fb-48b3-8b6d-d2ecf5c15e54 All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.